Development of An Automated High-Throughput Dried Blood Spot Assay to Facilitate Large Scale Screening for Type 1 Diabetes Risk
开发自动化高通量干血斑测定法以促进大规模筛查 1 型糖尿病风险
基本信息
- 批准号:9910015
- 负责人:
- 金额:$ 74.66万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2019
- 资助国家:美国
- 起止时间:2019-09-19 至 2021-07-31
- 项目状态:已结题
- 来源:
- 关键词:Accident and Emergency departmentAchievementAddressAdultAffectAgglutinationAgreementAmericanAntibodiesAutoantibodiesAutoimmune DiseasesAutomationBiological AssayBiological SciencesBlindedBloodBlood ScreeningChildClassificationClinicalClinical Laboratory Information SystemsCold ChainsCollaborationsCollectionCommunitiesCustomDataDecentralizationDetectionDevelopmentDevicesDiabetes autoantibodiesDiabetic KetoacidosisDiagnosisDiseaseEconomic BurdenEffectivenessFingersGeneral PopulationGoldImmunoassayIncidenceIndividualInformation SystemsInsulin AntibodiesInsulin-Dependent Diabetes MellitusIslet CellLaboratoriesLifeLiquid substanceManualsMeasuresMethodsModificationPaperPatientsPerformancePhasePreparationProceduresProcessProtocols documentationQuality of lifeRadioimmunoassayReadinessReagentResearch PersonnelResolutionRiskRoboticsSamplingSerumShippingSignal TransductionSolidSpottingsStandardizationSudden DeathSystemTestingUniversitiesValidationVenous blood samplingbasechronic autoimmune diseasecloud basedcostcost effectivedesigndiabetes riskimprovedisletmedical schoolspopulation basedpreventprogram costsprogramsquality assurancerobotic systemscreeningscreening programyoung adult
项目摘要
Type 1 diabetes (T1D) is a chronic autoimmune disease that affects millions of children and adults in the
US. Up to 40% of T1D patients are diagnosed in the emergency room with life-threatening diabetic
ketoacidosis (DKA), resulting in severe clinical complications and a substantial economic burden.
Programs that screen for blood-borne markers of early-stage T1D (anti-islet cell autoantibodies) can
significantly diminish the incidence of DKA and improve patient quality of life. However, large-scale
implementation of such screening campaigns is hindered by the high cost and low throughput of
radioimmunoassay (RIA), the gold-standard method for measuring anti-islet autoantibodies. Moreover, a
significant portion of screening program costs are associated with phlebotomy, cold-chain storage and
shipping. To address this, Enable Biosciences aims to develop a cost-effective, multiplex, high-
throughput and non-radioactive immunoassay to diagnose T1D and screen for individuals at risk for T1D
using low-cost easy-to-collect dried blood spots (DBS). The successful development of this high-
throughput dried blood spot T1D assay can substantially increase the effectiveness of general population-
based T1D screening programs. In a JDRF- and Stanford-supported initiative, we were gratified that a
serum-based Enable assay achieved the highest performance for anti-GAD, anti-IA2 and a close
second-to-highest performance for anti-insulin antibodies in the recent blinded 2018 Islet-cell
Autoantibody Standardization Program (IASP) competition out of 50 participating laboratories.
The IASP data were generated with an automated Enable serum assay using a custom-made Enable
analyzer created in collaboration with Hamilton Robotics. Furthermore, we showed that our manual DBS-
based Enable assay correlated strongly with a serum-based assay (R=0.90-0.96). The concordance as
evaluated by Cohen’s test showed kappa between 0.85-0.89. The positive and negative agreements for
all three aforementioned autoantibodies range from 85%-99%. Notably, we also demonstrated less than
10% degradation of assay signals when DBS cards were stored at 37°C for 4 weeks. Building on these
solid technical achievements, which we consider as our “Phase I-like Results” described in detail in this
proposal, we aim to further automate our DBS assay procedures for high-throughput functionality
including DBS elution and DBS eluent testing using diverse samples, such as those from Stanford
University School of Medicine. We expect to deliver an integrated DBS T1D autoantibody assay
(elution/testing automation device and reagent kits) to serve large screening centers and CLIA-
laboratories. We further plan to obtain CE Mark classification and FDA approval to further decentralize
DBS T1D autoantibody testing to be able to address the important needs of communities, clinicians and
researchers worldwide.
1型糖尿病(T1D)是一种慢性自身免疫性疾病,影响着美国数百万儿童和成人
项目成果
期刊论文数量(0)
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David Seftel其他文献
David Seftel的其他文献
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{{ truncateString('David Seftel', 18)}}的其他基金
Development of An Automated High-Throughput Dried Blood Spot Assay to Facilitate Large Scale Screening for Type 1 Diabetes Risk
开发自动化高通量干血斑测定法以促进大规模筛查 1 型糖尿病风险
- 批准号:
10020787 - 财政年份:2019
- 资助金额:
$ 74.66万 - 项目类别:
Multiplex food allergy diagnostic based on IgE immunologic markers
基于 IgE 免疫标记物的多重食物过敏诊断
- 批准号:
10011621 - 财政年份:2018
- 资助金额:
$ 74.66万 - 项目类别:
Advancing an accessible, high-throughput and multiplex islet autoantibody test with self-collected capillary dried blood spots for regulatory clearance
利用自我收集的毛细血管干血点推进易于使用、高通量和多重胰岛自身抗体测试,以供监管审批
- 批准号:
10699934 - 财政年份:2016
- 资助金额:
$ 74.66万 - 项目类别:
An Ultrasensitive, High-Throughput, and Low-Cost Autoimmunity Panel for the Early Diagnosis and Improved Treatment of Type 1 Diabetes
用于 1 型糖尿病早期诊断和改进治疗的超灵敏、高通量和低成本自身免疫组合
- 批准号:
9559575 - 财政年份:2016
- 资助金额:
$ 74.66万 - 项目类别:
Antibody-Detection-by-Agglutination-PCR (ADAP): An Ultra-Sensitive, High-Throughput, Multiplexable Tool for T1D Diagnosis and Monitoring
凝集 PCR 抗体检测 (ADAP):一种用于 T1D 诊断和监测的超灵敏、高通量、可多重工具
- 批准号:
9185244 - 财政年份:2016
- 资助金额:
$ 74.66万 - 项目类别:
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